standardize
Standardize data by removing the mean and scaling to unit variance.
The standard score of a sample x is calculated as:
z = (x - u) / s where u is the mean of the training samples or zero if with_mean=False, and s is the standard deviation of the training samples or one if with_std=False.
Parameters
Parameter | Description |
---|---|
dim | The dimension along which the normalization takes place. |
Examples
import dascore as dc
patch = dc.load_example_patch()
standardize along the time axis
standardized_time = patch.standardize(‘time’)
standardize along the x axis
standardized_distance = patch.standardize(‘distance’) ```